These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

149 related articles for article (PubMed ID: 33434832)

  • 1. Assessment on water resources carrying capacity in karst areas by using an innovative DPESBRM concept model and cloud model.
    Peng T; Deng H; Lin Y; Jin Z
    Sci Total Environ; 2021 May; 767():144353. PubMed ID: 33434832
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comprehensive evaluation on water resource carrying capacity in karst areas using cloud model with combination weighting method: a case study of Guiyang, southwest China.
    Peng T; Deng H
    Environ Sci Pollut Res Int; 2020 Oct; 27(29):37057-37073. PubMed ID: 32572748
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Evaluation of spatial variation of water resources carrying capacity using optimal method: a case study of Fujian, China.
    Yang X
    Environ Sci Pollut Res Int; 2023 Jan; 30(1):1048-1059. PubMed ID: 35908029
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comprehensive evaluation and scenario simulation for the water resources carrying capacity in Xi'an city, China.
    Yang Z; Song J; Cheng D; Xia J; Li Q; Ahamad MI
    J Environ Manage; 2019 Jan; 230():221-233. PubMed ID: 30290309
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comprehensive evaluation of water resources carrying capacity in Henan Province based on entropy weight TOPSIS - coupling coordination - obstacle model.
    Wei Z; Ji D; Yang L
    Environ Sci Pollut Res Int; 2023 Nov; 30(54):115820-115838. PubMed ID: 37897572
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Evaluating water resource carrying capacity using the deep learning method: a case study of Yunnan, Southwest China.
    Zhang H; Huang C; Hu X; Mei H; Hu R
    Environ Sci Pollut Res Int; 2022 Jul; 29(32):48812-48826. PubMed ID: 35201583
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Trend analysis and obstacle factor of inter provincial water resources carrying capacity in China: from the perspective of decoupling pressure and support capacity.
    Sun W; Zhang Y; Chen H; Zhu L; Wang Y
    Environ Sci Pollut Res Int; 2022 May; 29(21):31551-31566. PubMed ID: 35006564
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Evaluation of regional water resources carrying capacity in China based on variable weight model and grey-markov model: a case study of Anhui province.
    Yan L; Jiao D; Yongshi Z
    Sci Rep; 2023 Aug; 13(1):13490. PubMed ID: 37596286
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comprehensive evaluation of water resources carrying capacity and analysis of obstacle factors in Weifang City based on hierarchical cluster analysis-VIKOR method.
    Yang H; Tan Y; Sun X; Cheng X; Liu G; Zhou G
    Environ Sci Pollut Res Int; 2021 Sep; 28(36):50388-50404. PubMed ID: 33959836
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predictive analysis of water resource carrying capacity based on system dynamics and improved fuzzy comprehensive evaluation method in Henan Province.
    Ji J; Qu X; Zhang Q; Tao J
    Environ Monit Assess; 2022 Jun; 194(7):500. PubMed ID: 35701693
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Coupling coordination and driving mechanisms of water resources carrying capacity under the dynamic interaction of the water-social-economic-ecological environment system.
    Wang X; Zhang S; Gao C; Tang X
    Sci Total Environ; 2024 Apr; 920():171011. PubMed ID: 38369138
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Analysis of sustainable water resource management and driving mechanism in arid region: a case study of Xinjiang, China, from 2005 to 2020.
    Yang J; Zheng J; Han C; Wang Z; Lu B
    Environ Sci Pollut Res Int; 2024 Feb; 31(10):15900-15919. PubMed ID: 38308779
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation on sustainability of water resource in karst area based on the emergy ecological footprint model and analysis of its driving factors: a case study of Guiyang city, China.
    Liu Z; Li B; Chen M; Li T
    Environ Sci Pollut Res Int; 2021 Sep; 28(35):49232-49243. PubMed ID: 33934303
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Forecasting and advancing water carrying capacity in Henan Province in China: Application of 'four determinations with water' in AHP and SD modeling.
    Shi Y; Yang S; Zhang L; Chen W; Fan Y; Lu L; Chen H; Zhang C
    Sci Total Environ; 2024 Apr; 919():170757. PubMed ID: 38340851
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Evaluating water resource sustainability from the perspective of water resource carrying capacity, a case study of the Yongding River watershed in Beijing-Tianjin-Hebei region, China.
    Dai D; Sun M; Lv X; Lei K
    Environ Sci Pollut Res Int; 2020 Jun; 27(17):21590-21603. PubMed ID: 32279273
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Measurement of water resources carrying capacity in Gugang Town of Central China based on human-water-agriculture framework.
    Chen S; Zhu X; Zhou Y; Yan Y; Wang R; Han P
    Sci Total Environ; 2023 Jul; 881():163459. PubMed ID: 37061059
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Study on sustainable development and construction of karst mountain city based on the concept of a sponge city.
    Li Y; Geng H
    Water Sci Technol; 2022 Sep; 86(6):1467-1477. PubMed ID: 36178817
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Determining the scale of coal mining in an ecologically fragile mining area under the constraint of water resources carrying capacity.
    Chi M; Zhang D; Zhao Q; Yu W; Liang S
    J Environ Manage; 2021 Feb; 279():111621. PubMed ID: 33187778
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Assessment of coal mining land subsidence by using an innovative comprehensive weighted cloud model combined with a PSR conceptual model.
    Xu C; Zhou K; Xiong X; Gao F
    Environ Sci Pollut Res Int; 2022 Mar; 29(13):18665-18679. PubMed ID: 34693493
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Water resource carrying capacity and obstacle factors in the Yellow River basin based on the RBF neural network model.
    Sun X; Zhou Z; Wang Y
    Environ Sci Pollut Res Int; 2023 Feb; 30(9):22743-22759. PubMed ID: 36306066
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.